At the heart of the surge in agentic AI investment is the tech industry’s need to develop tools that automate tasks intelligently across multiple business segments. Faster business processes – when rooted in accurate data, deep analytics, and user-friendly tech stack integrations—can unlock new revenue by helping human teams produce more with fewer resources.
But there’s one sticking point with agentic AI that gives many potential early adopters in highly regulated industries pause – accuracy. Precision and regulatory compliance are non-negotiable when it comes to automation in industries like insurance. For innovative companies like NeuralMetrics AI, blending the scale and speed of AI with the intelligent precision of agentic AI solves the problem of efficiency and accuracy simultaneously.
By keeping humans “above the loop” –as guides and monitors with visibility into each automated process—the company says it has solved the problem of where humans fit into the agentic AI revolution across multiple industries.
One thing’s for sure; AI will not properly regulate itself,” stated (link) NeuralMetrics technical co-founder Marcus Daley in a recent interview. “So, insurers need to have human beings involved at all appropriate decision points in their AI insurance underwriting processes,” NeuralMetrics states that it builds transparency into every layer of its system, offering auditable, logically driven outputs that regulators and insurers alike can trust.
NeuralMetrics refers to its approach to agentic AI as Collective Decision-Making Intelligence (CDMI) — a process in which multiple AI assistants are trained to reason, collaborate, and act together to accomplish specific goals.
The company’s AI-powered assistants are trained to understand jurisdictional nuances, auto-fill known data, and standardize complex intake forms. The result, according to NeuralMetrics, is fewer redundant questions, higher data fidelity, and faster turnarounds throughout the audit process. Human-above-the-loop is more than an add-on to NeuralMetrics’ automated, agentic AI-led processes; it’s at the core of the company’s business model, the company shared. “Insurers are able to use AI and InsurTech to make the lives of the people and the companies they insure more simple, more predictable and less risky,” Daley stated (link). “They’re providing important value, and they’re going to be successful.”
